Build Interactive Dashboards from Harvest Data in Amazon QuickSight

Amazon QuickSight allows users to build interactive dashboards in the cloud. When paired with CData Connect Server, you get direct access to Harvest data for visualizations, dashboards, and more. This article shows how to create a virtual database for Harvest in Connect Server and build dashboards in Amazon QuickSight with access to Harvest data.

CData Connect Server provides a pure SQL Server interface for Harvest, allowing you to easily build reports from live Harvest data in Quicksight — without replicating the data to a natively supported database. As you build visualizations, Quicksight generates SQL queries to gather data. Using optimized data processing out of the box, CData Connect Server pushes all supported SQL operations (filters, JOINs, etc) directly to Harvest, leveraging server-side processing to quickly return the requested Harvest data.

Create a Virtual SQL Server Database for Harvest Data

CData Connect Server uses a straightforward, point-and-click interface to connect to data sources and generate APIs.

1. Login to Connect Server and click Connections.
2. Select "Harvest" from Available Data Sources.
3. Enter the necessary authentication properties to connect to Harvest.

   Start by setting the Profile connection property to the location of the Harvest Profile on disk (e.g. C:\profiles\Harvest.apip). Next, set the ProfileSettings connection property to the connection string for Harvest (see below).

   Harvest API Profile Settings

   To authenticate to Harvest, you can use either Token authentication or the OAuth standard. Use Basic authentication to connect to your own data. Use OAuth to allow other users to connect to their data.

   Using Token Authentication

   To use Token Authentication, set the APIKey to your Harvest Personal Access Token in the ProfileSettings connection property. In addition to APIKey, set your AccountId in ProfileSettings to connect.

   Using OAuth Authentication

   First, register an OAuth2 application with Harvest. The application can be created from the "Developers" section of Harvest ID.

   After setting the following connection properties, you are ready to connect:

   • ProfileSettings: Set your AccountId in ProfileSettings.
   • AuthScheme: Set this to OAuth.
   • OAuthClientId: Set this to the client ID that you specified in your app settings.
   • OAuthClientSecret: Set this to the client secret that you specified in your app settings.
   • CallbackURL: Set this to the Redirect URI that you specified in your app settings.
   • InitiateOAuth: Set this to GETANDREFRESH. You can use InitiateOAuth to manage how the driver obtains and refreshes the OAuthAccessToken.
4. Click Save Changes
5. Click Privileges -> Add and add the new user (or an existing user) with the appropriate permissions.

With the virtual database created, you are ready to connect to Harvest data from Quicksight.

Import Harvest Data into SPICE and Create Interactive Dashboards

The steps below outline creating a new data set based on the virtual Harvest database in Connect Server, importing the dataset into SPICE, and building a simple visualization from the data.

1. Log into Amazon QuickSight and on the left panel click "Datasets"
2. Click "New dataset," select SQL Server as the data source, configure the connection to your Connect Server instance, and click "Create data source"
3. Select a table to visualize (or submit a custom SQL query for your data) and click Select.
4. Select "Import to SPICE for quicker analytics" and click "Visualize."
5. Select fields to visualize as well as a visual type.

Schedule Refreshes for SPICE Data Sets

QuickSight users can schedule refreshes for data sets that are imported into SPICE, ensuring that data being analyzed is only as old as the most recent refresh.

1. Navigate to the QuickSight home page.
2. Click "Manage data."
3. Select the data set you wish to refresh.
4. Click "Schedule refresh."
5. Click Create, configure the refresh settings (time zone, repeat frequency, and starting datetime), and click Create.

SQL Access to Harvest Data from Applications

At this point, you have a direct connection to Harvest data from your Amazon QuickSight dashboard. You can create new visualizations, build interactive dashboards, and more. For more information on gaining SQL access to data from more than 250 SaaS, Big Data, and NoSQL sources from applications like Amazon QuickSight, refer to our Connect Server page.